Recent improvements in tensor scale computation and its applications to medical imaging. - Ziyue Xu 001; Milan Sonka; Punam K. Saha (Image Processing, 2009)

An Analytic Approach to Tensor Scale with an Efficient Algorithm and Applications to Image Filtering. - Punam K. Saha; Ziyue Xu 001 (DICTA, 2010)

Improved tensor scale computation with application to medical image interpolation. - Ziyue Xu 001; Milan Sonka; Punam K. Saha (Comput. Medical Imaging Graph., 2011)

Tensor scale-based anisotropic region growing for segmentation of elongated biological structures. - Ziyue Xu 001; Zhiyun Gao; Eric A. Hoffman; Punam K. Saha (ISBI, 2012)

Generic rebooting scheme and model-based probabilistic pruning algorithm for tree-like structure tracking. - Ziyue Xu 001; Fei Zhao; Roshni R. Bhagalia; Bipul Das (ISBI, 2012)

Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging. - Yinxiao Liu; Punam K. Saha; Ziyue Xu 001 (MICCAI (1), 2012)

Tensor scale: An analytic approach with efficient computation and applications. - Ziyue Xu 001; Punam K. Saha; Soura Dasgupta (Comput. Vis. Image Underst., 2012)

Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. - Brent Foster; Ulas Bagci; Brian Luna; Bappaditya Dey; William Bishai; Sanjay Jain 002; Ziyue Xu 001; Daniel J. Mollura (ISBI, 2013)

A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Daniel J. Mollura (ISBI, 2013)

Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Daniel J. Mollura (MICCAI (2), 2013)

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. - Ulas Bagci; Jayaram K. Udupa; Neil Mendhiratta; Brent Foster; Ziyue Xu 001; Jianhua Yao 001; Xinjian Chen 001; Daniel J. Mollura (Medical Image Anal., 2013)

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. - Awais Mansoor; Ulas Bagci; Brent Foster; Ziyue Xu 001; Deborah Douglas; Jeffrey M. Solomon; Jayaram K. Udupa; Daniel J. Mollura (EMBC, 2014)

Efficient ribcage segmentation from CT scans using shape features. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. - Ziyue Xu 001; Ulas Bagci; Colleen B. Jonsson; Sanjay Jain 002; Daniel J. Mollura (EMBC, 2014)

Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. - Ziyue Xu 001; Ulas Bagci; Jurgen Seidel; David Thomasson; Jeffrey M. Solomon; Daniel J. Mollura (MICCAI (1), 2014)

A review on segmentation of positron emission tomography images. - Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu 001; Daniel J. Mollura (Comput. Biol. Medicine, 2014)

Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. - Brent Foster; Ulas Bagci; Ziyue Xu 001; Bappaditya Dey; Brian Luna; William Bishai; Sanjay Jain 002; Daniel J. Mollura (IEEE Trans. Biomed. Eng., 2014)

A Generic Approach to Pathological Lung Segmentation. - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2014)

Highly precise partial volume correction for PET images: An iterative approach via shape consistency. - Ziyue Xu 001; Ulas Bagci; Mingchen Gao; Daniel J. Mollura (ISBI, 2015)

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. - Ziyue Xu 001; Ulas Bagci; Brent Foster; Awais Mansoor; Jayaram K. Udupa; Daniel J. Mollura (Medical Image Anal., 2015)

Correction to "A Generic Approach to Pathological Lung Segmentation". - Awais Mansoor; Ulas Bagci; Ziyue Xu 001; Brent Foster; Kenneth N. Olivier; Jason M. Elinoff; Anthony F. Suffredini; Jayaram K. Udupa; Daniel J. Mollura (IEEE Trans. Medical Imaging, 2015)

Segmentation label propagation using deep convolutional neural networks and dense conditional random field. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Aaron Wu; Isabella Nogues; Ronald M. Summers; Daniel J. Mollura (ISBI, 2016)

Deep vessel tracking: A generalized probabilistic approach via deep learning. - Aaron Wu; Ziyue Xu 001; Mingchen Gao; Mario Buty; Daniel J. Mollura (ISBI, 2016)

Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. - Mario Buty; Ziyue Xu 001; Mingchen Gao; Ulas Bagci; Aaron Wu; Daniel J. Mollura (MICCAI (1), 2016)

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (MLMI@MICCAI, 2016)

Atlas-based rib-bone detection in chest X-rays. - Sema Candemir; Stefan Jaeger 001; Sameer K. Antani; Ulas Bagci; Les R. Folio; Ziyue Xu 001; George R. Thoma (Comput. Medical Imaging Graph., 2016)

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. - Kevin George; Adam P. Harrison; Dakai Jin; Ziyue Xu 001; Daniel J. Mollura (DLMIA/ML-CDS@MICCAI, 2017)

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. - Adam P. Harrison; Ziyue Xu 001; Kevin George; Le Lu 001; Ronald M. Summers; Daniel J. Mollura (MICCAI (3), 2017)

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Kevin George; Daniel J. Mollura (MLMI@MICCAI, 2017)

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (CoRR, 2017)

Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. - Mingchen Gao; Ziyue Xu 001; Daniel J. Mollura (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. - Dakai Jin; Ziyue Xu 001; Adam P. Harrison; Daniel J. Mollura (ISBI, 2018)

CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. - Dakai Jin; Ziyue Xu 001; Youbao Tang; Adam P. Harrison; Daniel J. Mollura (MICCAI (2), 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Joint solution for PET image segmentation, denoising, and partial volume correction. - Ziyue Xu 001; Mingchen Gao; Georgios Z. Papadakis; Brian Luna; Sanjay Jain 002; Daniel J. Mollura; Ulas Bagci (Medical Image Anal., 2018)

Cardiac Segmentation of LGE MRI with Noisy Labels. - Holger Roth; Wentao Zhu 001; Dong Yang 005; Ziyue Xu 001; Daguang Xu (STACOM@MICCAI, 2019)

Weakly Supervised Segmentation from Extreme Points. - Holger Roth; Ling Zhang 002; Dong Yang 005; Fausto Milletari; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. - Xiaosong Wang 001; Ling Zhang 002; Holger Roth; Daguang Xu; Ziyue Xu 001 (GLMI@MICCAI, 2019)

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Holger Roth; Dong Yang 005; Fausto Milletari; Ling Zhang 002; Daguang Xu (SASHIMI@MICCAI, 2019)

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. - Dong Yang 005; Holger Roth; Ziyue Xu 001; Fausto Milletari; Ling Zhang 002; Daguang Xu (MICCAI (2), 2019)

Interactive segmentation of medical images through fully convolutional neural networks. - Tomas Sakinis; Fausto Milletari; Holger Roth; Panagiotis Korfiatis; Petro M. Kostandy; Kenneth Philbrick; Zeynettin Akkus; Ziyue Xu 001; Daguang Xu; Bradley J. Erickson (CoRR, 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (CoRR, 2019)

When Radiology Report Generation Meets Knowledge Graph. - Yixiao Zhang 001; Xiaosong Wang 001; Ziyue Xu 001; Qihang Yu; Alan L. Yuille; Daguang Xu (AAAI, 2020)

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. - Wentao Zhu 001; Can Zhao 001; Wenqi Li 001; Holger Roth; Ziyue Xu 001; Daguang Xu (MICCAI (4), 2020)

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (MIDL, 2020)

NeurReg: Neural Registration and Its Application to Image Segmentation. - Wentao Zhu 001; Andriy Myronenko; Ziyue Xu 001; Wenqi Li 001; Holger Roth; Yufang Huang; Fausto Milletari; Daguang Xu (WACV, 2020)

Capsules for Biomedical Image Segmentation. - Rodney LaLonde; Ziyue Xu 001; Sanjay Jain 002; Ulas Bagci (CoRR, 2020)

Enhancing Foreground Boundaries for Medical Image Segmentation. - Dong Yang 005; Holger Roth; Xiaosong Wang 001; Ziyue Xu 001; Andriy Myronenko; Daguang Xu (CoRR, 2020)

Learning Image Labels On-the-fly for Training Robust Classification Models. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (CoRR, 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Dong Yang 005; Andriy Myronenko; Xiaosong Wang 001; Ziyue Xu 001; Holger R. Roth; Daguang Xu (ICCV, 2021)

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. - Riddhish Bhalodia; Ali Hatamizadeh; Leo K. Tam; Ziyue Xu 001; Xiaosong Wang 001; Evrim Turkbey; Daguang Xu (MICCAI (2), 2021)

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. - Ugur Demir; Ismail Irmakci; Elif Keles; Ahmet Topcu; Ziyue Xu 001; Concetto Spampinato; Sachin Jambawalikar; Evrim Turkbey; Baris Turkbey; Ulas Bagci (MLMI@MICCAI, 2021)

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. - Andriy Myronenko; Ziyue Xu 001; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 2021)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. - Xiaosong Wang 001; Ziyue Xu 001; Leo K. Tam; Dong Yang 005; Daguang Xu (CoRR, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Going to Extremes: Weakly Supervised Medical Image Segmentation. - Holger R. Roth; Dong Yang 005; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (Mach. Learn. Knowl. Extr., 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Capsules for biomedical image segmentation. - Rodney LaLonde; Ziyue Xu 001; Ismail Irmakci; Sanjay Jain 002; Ulas Bagci (Medical Image Anal., 2021)

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. - An Xu; Wenqi Li 001; Pengfei Guo; Dong Yang 005; Holger Roth; Ali Hatamizadeh; Can Zhao 001; Daguang Xu; Heng Huang; Ziyue Xu 001 (CVPR, 2022)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 2022)

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. - Holger R. Roth; Ali Hatamizadeh; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Andriy Myronenko; Daguang Xu (DeCaF/FAIR@MICCAI, 2022)

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. - Ziyue Xu 001; Andriy Myronenko; Dong Yang 005; Holger R. Roth; Can Zhao 001; Xiaosong Wang 001; Daguang Xu (MICCAI (2), 2022)

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. - Ali Hatamizadeh; Ziyue Xu 001; Dong Yang 005; Wenqi Li 001; Holger Roth; Daguang Xu (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer. - Bin Huang; Yufeng Ye; Ziyue Xu 001; Zongyou Cai; Yan He; Zhangnan Zhong; Lingxiang Liu; Xin Chen 025; Hanwei Chen; Bingsheng Huang (IEEE Trans. Medical Imaging, 2022)

Fair Federated Medical Image Segmentation via Client Contribution Estimation. - Meirui Jiang; Holger R. Roth; Wenqi Li 001; Dong Yang 005; Can Zhao 001; Vishwesh Nath; Daguang Xu; Qi Dou 001; Ziyue Xu 001 (CVPR, 2023)

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. - Jingwei Sun 002; Ziyue Xu 001; Dong Yang 005; Vishwesh Nath; Wenqi Li 001; Can Zhao 001; Daguang Xu; Yiran Chen 001; Holger R. Roth (ICCV, 2023)

Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning. - Zongyou Cai; Yufeng Ye; Zhangnan Zhong; Haiwei Lin; Ziyue Xu 001; Bin Huang; Wei Deng; Qiting Wu; Kaixin Lei; Jiegeng Lyu; Hanwei Chen; Bingsheng Huang (CMMCA@MICCAI, 2023)

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. - Bin Huang; Ziyue Xu 001; Shing-Chow Chan; Zhong Liu 004; Huiying Wen; Chao Hou; Qicai Huang; Meiqin Jiang; Changfeng Dong; Jie Zeng; Ruhai Zou; Bingsheng Huang; et al. (MICCAI (6), 2023)

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. - Dong Yang 005; Ziyue Xu 001; Yufan He; Vishwesh Nath; Wenqi Li 001; Andriy Myronenko; Ali Hatamizadeh; Can Zhao 001; Holger R. Roth; Daguang Xu (MICCAI (3), 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yiran Chen 001; Holger R. Roth (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yudong Liu; Zhixu Du; Yiran Chen 001; Holger R. Roth (ICML, 2024)

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. - Jeya Maria Jose Valanarasu; Yucheng Tang; Dong Yang 005; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Vishal M. Patel; Bennett Allan Landman; Daguang Xu; Yufan He; Vishwesh Nath (MIDL, 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. - Mohammad Zalbagi Darestani; Vishwesh Nath; Wenqi Li 001; Yufan He; Holger R. Roth; Ziyue Xu 001; Daguang Xu; Reinhard Heckel; Can Zhao 001 (WACV, 2024)

Learning Quality Labels for Robust Image Classification. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (WACV, 2024)

Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma. - Zongyou Cai; Zhangnan Zhong; Haiwei Lin; Bingsheng Huang; Ziyue Xu 001; Bin Huang; Wei Deng; Qiting Wu; Kaixin Lei; Jiegeng Lyu; Yufeng Ye; Hanwei Chen; et al. (Comput. Medical Imaging Graph., 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 2024)

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CoRR, 2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE. - Holger R. Roth; Daniel J. Beutel; Yan Cheng; Javier Fernández-Marqués; Heng Pan; Chester Chen; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Daguang Xu; Wenqi Li 001 (CoRR, 2024)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. - Parker Addison; Minh-Tuan H. Nguyen; Tomislav Medan; Jinali Shah; Mohammad T. Manzari; Brendan McElrone; Laksh Lalwani; Aboli More; Smita Sharma; Holger R. Roth; Isaac Yang; Chester Chen; et al. (CoRR, 2024)

An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. - Mingyu Wang; Chao Chen; Ziyue Xu 001; Lang Xu; Weiwei Zhan; Jing Xiao 006; Yiqing Hou; Bingsheng Huang; Lingyun Huang; Shuo Li 001 (Medical Image Anal., 2024)

Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. - Xiaoyi Lin; Mingyu Wang; Fei Li; Ziyue Xu 001; Jia Chen; Xin Chen 025; Chenglang Yuan; Songxiong Wu; Yanji Luo; Jingxian Shen; Shi-Ting Feng; Bingsheng Huang (IEEE J. Biomed. Health Informatics, 2024)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. - Yufan He; Pengfei Guo; Yucheng Tang; Andriy Myronenko; Vishwesh Nath; Ziyue Xu 001; Dong Yang 005; Can Zhao 001; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. - Hongyi Pan; Gorkem Durak; Zheyuan Zhang; Yavuz Taktak; Elif Keles; Halil Ertugrul Aktas; Alpay Medetalibeyoglu; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; Rajesh N. Keswani; et al. (ISBI, 2025)

IPMN Risk Assessment Under Federated Learning Paradigm. - Hongyi Pan; Ziliang Hong; Gorkem Durak; Elif Keles; Halil Ertugrul Aktas; Yavuz Taktak; Alpay Medetalibeyoglu; Zheyuan Zhang; Yury Velichko; Concetto Spampinato; Ivo Schoots; Marco J. Bruno; et al. (ISBI, 2025)

MAISI: Medical AI for Synthetic Imaging. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Ziyue Xu 001; Vishwesh Nath; Yucheng Tang; Benjamin Simon; Mason Belue; Stephanie A. Harmon; Baris Turkbey; Daguang Xu (WACV, 2025)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Ziyue Xu 001; Yuan-Ting Hsieh; Zhihong Zhang 001; Holger R. Roth; Chester Chen; Yan Cheng; Andrew Feng (CoRR, 2025)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Yufan He; Vishwesh Nath; Ziyue Xu 001; Pedro R. A. S. Bassi; Zongwei Zhou; Benjamin Simon; Stephanie Anne Harmon; Baris Turkbey; Daguang Xu (CoRR, 2025)

Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation. - Hongyi Pan; Ziliang Hong; Gorkem Durak; Ziyue Xu 001; Ulas Bagci (CoRR, 2025)

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. - Hongyi Pan; Gorkem Durak; Elif Keles; Deniz Seyithanoglu; Zheyuan Zhang; Alpay Medetalibeyoglu; Halil Ertugrul Aktas; Andrea Mia Bejar; Ziliang Hong; Yavuz Taktak; Gulbiz Dagoglu Kartal; Sukru Mehmet Erturk; et al. (CoRR, 2025)